Equivalent structural parameters based non-destructive prediction of sustainable concrete strength using machine learning models via piezo sensor
T Bansal, V Talakokula, K Mathiyazhagan - Measurement, 2022 - Elsevier
As concrete is one of the most common material used in the construction industry, it is
essential to monitor and predict the strength development during curing/hydration process in …
essential to monitor and predict the strength development during curing/hydration process in …
FESD: An approach for biometric human footprint matching using fuzzy ensemble learning
Biometric traits such as fingerprint, retina scan, and palm-prints are used to identify a person
at attendance monitoring, banking, passport, travel, and many other applications. Biometric …
at attendance monitoring, banking, passport, travel, and many other applications. Biometric …
[HTML][HTML] BreastMultiNet: A multi-scale feature fusion method using deep neural network to detect breast cancer
Breast cancer is predominantly seen in women and is the leading cause of death in females
worldwide. Diagnosis of breast cancer using biopsy tissue images is expensive, time …
worldwide. Diagnosis of breast cancer using biopsy tissue images is expensive, time …
[HTML][HTML] Proposing a hybrid technique of feature fusion and convolutional neural network for melanoma skin cancer detection
Skin cancer is among the most common cancer types worldwide. Automatic identification of
skin cancer is complicated because of the poor contrast and apparent resemblance between …
skin cancer is complicated because of the poor contrast and apparent resemblance between …
Machine learning-based monitoring and predicting the compressive strength of different blended cementitious systems using embedded piezo-sensor data
T Bansal, V Talakokula, P Sathujoda - Measurement, 2022 - Elsevier
This paper presents strength monitoring and prediction of blended cementitious systems
using embedded piezo sensor via machine learning (ML) models. Experiments were …
using embedded piezo sensor via machine learning (ML) models. Experiments were …
Hybrid feature fusion and machine learning approaches for melanoma skin cancer detection
Skin cancer is an exquisite disease globally nowadays. Because of the poor contrast and
apparent resemblance between skin and lesions, automatic identification of skin cancer is …
apparent resemblance between skin and lesions, automatic identification of skin cancer is …
Rediscovering Minutiae Matching through One Shot Learning's Siamese Framework in Poor Quality Footprint Images
Footprint biometrics is one of the emerging techniques, which can be utilized in different
security systems. A human footprint has unique traits which is sufficient to recognize any …
security systems. A human footprint has unique traits which is sufficient to recognize any …
Detection of iris presentation attacks using feature fusion of thepade's sorted block truncation coding with gray-level co-occurrence matrix features
Iris biometric detection provides contactless authentication, preventing the spread of COVID-
19-like contagious diseases. However, these systems are prone to spoofing attacks …
19-like contagious diseases. However, these systems are prone to spoofing attacks …
基于深度度量学习的足迹图像检索算法.
朱明， 江畅， 于小勇， 殷克华， 唐俊… - Forensic Science & …, 2023 - search.ebscohost.com
针对赤足迹光学图像相似度高, 传统算法无法快速提取样本有效信息的问题,
提出了一种基于深度度量学习的赤足迹图像检索算法, 该算法使用多尺度特征融合结构构建主干 …
提出了一种基于深度度量学习的赤足迹图像检索算法, 该算法使用多尺度特征融合结构构建主干 …
Deep learning neural networks for monitoring early-age concrete strength through a surface-bonded PZT sensor configuration
Monitoring the immediate evolution of concrete's strength is essential to ensure structural
integrity and construction efficiency, requiring Forecasting to avoid unforeseen and severe …
integrity and construction efficiency, requiring Forecasting to avoid unforeseen and severe …